Sentence examples for mathematical modelling techniques from inspiring English sources

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Emilie Dressaire, from Trinity College in Hartford, Connecticut, US, and her colleagues used high-speed filming and mathematical modelling techniques to show how shitake and oyster mushrooms release water vapour when they drop their spores.

With the recent development in farm technologies and mathematical modelling techniques supported by computer-based simulations, new methodologies in research are available to improve animal traction tillage implements.

It is shown theoretically using elementary mechanics and applied mathematical modelling techniques that for cisplatin to be accepted, the carbon nanotube must have a radius of at least 4.785 Å, and that the maximum suction energy occurs when the carbon nanotube radius is 5.27 Å.

Tobacco control researchers have recently become more interested in systems science methods and mathematical modelling techniques as a means to understand how complex inter-relationships among various factors translate into population-level summaries of tobacco use prevalence and its associated medical and social costs.

Topics include mathematical modelling techniques; advanced linear algebra; non-linear systems of equations; dynamic simulation; optimization; and case studies.

Traditional mathematical modelling techniques have been used to compute the numbers that have the least imprecision.

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In particular, he uses statistical and mathematical modeling techniques to examine the response of disease dynamics to temporal and spatial variability of climate and other environmental factors.

Mathematical modeling techniques are now an integral component of researchers' efforts to find better ways to reduce the burden of cancer.

Students will engage in in-depth study of disease detection and control strategies from a "systems science" perspective, which involves the use of common engineering, operations research, and mathematical modeling techniques such as optimization, queuing theory, Markov and Kermack-McKendrick models, and microsimulation.

Scientists have introduced mathematical modeling techniques to predict the release of nutrients from the CRFs to elucidate fundamental understanding of the dynamics of the release processes and to design new CRFs in a shorter time and with relatively lower cost.

Mathematical modeling techniques also vary in their physiological assumptions.

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